Job Overview
Location
San Francisco
Job Type
Full-time
Category
Product Management
Date Posted
July 10, 2026
Full Job Description
📋 Description
- • Co-design capabilities of the model: define areas of improvement for the model, along with the Researcher.
- • Perform literature review: headroom analysis, identifying recent work in academic and industry circles.
- • Run experiments and benchmarks: using our internal simulation stack and our open source tooling such as Oddish to define and hillclimb on the vertical.
- • Become the voice of the model user: Talk to individual users and/or enterprises, in order to deeply understand where models and agents are underperforming, turning these insights into evaluation and training data.
- • Work on data pipelines: internal tooling to support research operations.
🎯 Requirements
- • Technically fluent: Deep understanding of evaluations, RL, and how LLMs and Agents work.
- • Research-oriented — Able to read papers and keep up with SOTA literature.
- • Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy.
- • Creative problem solver — You leverage creativity and research skills to design projects from the ground up.
- • Must be highly proficient with coding agents such as Codex or Claude Code.
🏖️ Benefits
- • Base Salary: $150,000 - $210,000
- • Cash Bonus: Sizable performance bonus tied to project and company milestones
- • Equity: Meaningful early-stage grant
- • Health, dental, vision + flexible PTO
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Abundant Robotics Inc.
Abundant Robotics develops robotic systems for automating fruit harvesting. Its machines use computer vision and machine learning to identify, pick, and handle delicate crops such as apples without bruising. The company targets labor shortages and rising costs in agriculture by offering reliable, field-ready harvesters that operate day and night. Founded in 2016 and spun out of SRI International, it has conducted pilot deployments in U.S. orchards and partnered with growers and packers to refine its technology for commercial scale.
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